Ontology type: schema:Chapter
2010
AUTHORSLuis J. Rodríguez-Muñiz , Miguel López-Díaz
ABSTRACTIn this paper we examine two different models using fuzzy random variables as the tool for dealing with single-stage decision problems with imprecise assessments of utilities. Both of them are oriented to prove the equivalence between normal and extensive forms of Bayesian analysis. The first model uses Fubini-type techniques to obtain the result whereas the second does not construct a product space and the result is obtained by different techniques. Addition of fuzzy-valued sample information is also considered. More... »
PAGES298-305
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications
ISBN
978-3-642-14057-0
978-3-642-14058-7
http://scigraph.springernature.com/pub.10.1007/978-3-642-14058-7_30
DOIhttp://dx.doi.org/10.1007/978-3-642-14058-7_30
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